CN115225522B

CN115225522B - Roaming quality assessment method and device and electronic equipment

Info

Publication number: CN115225522B
Application number: CN202110426804.8A
Authority: CN
Inventors: 陶娟
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Henan Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Henan Co Ltd
Priority date: 2021-04-20
Filing date: 2021-04-20
Publication date: 2023-11-10
Anticipated expiration: 2041-04-20
Also published as: CN115225522A

Abstract

The embodiment of the invention provides a roaming quality assessment method, a roaming quality assessment device and electronic equipment, wherein the method comprises the following steps: obtaining a frequent user, namely a roaming user with accumulated roaming time larger than a preset time value, and obtaining a first user set formed by the frequent user, wherein the frequent user refers to the roaming user located in an area outside a province where a user attribution is located; screening target frequent and diffuse users from the first user set, and obtaining a second user set composed of the target frequent and diffuse users, wherein the target frequent and diffuse users are frequent and diffuse users belonging to the same industry unit and/or in the same roaming place; based on the second user set, acquiring a quality evaluation index of the target frequent user; and evaluating the roaming quality of the target frequent users based on the quality evaluation index. The embodiment of the invention realizes the assessment of the roaming quality of the roaming user by the attribution of the roaming user and improves the convenience of the roaming quality assessment.

Description

Roaming quality assessment method and device and electronic equipment

Technical Field

The present invention belongs to the technical field of mobile communications, and in particular, relates to a roaming quality assessment method, a roaming quality assessment device and an electronic device.

Background

The mobile communication network generally realizes the judgment of the residence of the card issuing user in the province based on the data roaming type of a Business operation support system (Business & Operation Support System). For the user roaming in the foreign province, whether the roaming type of the user is the resident roaming user or not is identified through the roaming type of the user in a period of time, the roaming quality condition of the user resident roaming user needs to communicate with the roaming place, and the roaming place is analyzed and known through the data of the local key quality index (Key Quality Indicators, KQI).

That is, the user home province cannot directly perform roaming quality analysis on the user who has roamed out of home. According to the current use condition of the Internet of things network card, 80% of users are used in non-contracted attribution, and due to the technical deficiency, the service use condition of the Internet of things users which walk out of the attribution cannot be supported, so that the online use rate of the Internet of things users is lower, and the card issuing benefit of operators is low.

Disclosure of Invention

The embodiment of the invention aims to provide a roaming quality assessment method, a roaming quality assessment device and electronic equipment, so as to solve the problem that the attribution of a roaming user cannot directly assess the roaming quality of the roaming user.

In a first aspect, an embodiment of the present invention provides a roaming quality assessment method, including:

Obtaining a frequent user, namely a roaming user with accumulated roaming time larger than a preset time value, and obtaining a first user set formed by the frequent user, wherein the frequent user refers to the roaming user located in an area outside a province where a user attribution is located;

screening target frequent and diffuse users from the first user set, and obtaining a second user set composed of the target frequent and diffuse users, wherein the target frequent and diffuse users are frequent and diffuse users belonging to the same industry unit and/or in the same roaming place;

based on the second user set, acquiring a quality evaluation index of the target frequent user;

and evaluating the roaming quality of the target frequent users based on the quality evaluation index.

Optionally, the obtaining the frequent users and obtaining the first user set composed of the frequent users includes:

obtaining ticket data of a user in a first preset time period within a preset range, wherein the ticket data comprise BOSS ticket data of a service operation support system and/or MAP protocol data of a mobile application part;

obtaining a first information base based on the call ticket data, wherein the first information base comprises corresponding relation among user information, roaming time and roaming type, and the roaming type is intra-provincial roaming or extra-provincial roaming;

Deleting the user with the last roaming type in the first information base as intra-provincial roaming to obtain a second information base, wherein the user in the second information base is a roaming user;

acquiring the ratio of the total roaming time to the total call time of each user in the second information base, determining the user with the ratio larger than a preset ratio value as a first frequent user in the first preset period, and obtaining a third user set formed by the first frequent user;

and obtaining the first user set based on the third user set.

Optionally, the obtaining the first user set based on the third user set includes:

directly determining the third set of users as the first set of users; or,

acquiring a fourth user set formed by second frequent users in a second preset period, wherein the second preset period is a period before the first preset period;

deleting the user with roaming type in province roaming in a third preset period in the fourth user set to obtain a fifth user set, wherein the third preset period is a preset end period in the second preset period;

combining and de-duplication operation is carried out on the third user set and the fifth user set to obtain a sixth user set;

And deleting the frequently diffused users of the sold users in the sixth user set to obtain the first user set.

Optionally, the acquiring, based on the second user set, the quality evaluation index of the target frequent user includes:

obtaining user indexes of target frequently-diffused users in the second user set, wherein the user indexes comprise: the total number of users, the zero-flow number of users, the number of call interruption users and the number of unconnected users in the second user set and the total number of flows of all target frequently-diffused users in the second user set;

based on the user index, acquiring a quality evaluation index of the target frequent user, wherein the quality evaluation index comprises: zero flow user number proportion, call interruption user number proportion, loss user number proportion and user traffic average change proportion.

Optionally, the conversation interruption user number ratio is a ratio of the conversation interruption user number to the total user number;

the number of the call interruption users is obtained through the following steps:

obtaining a voice service ticket of a frequently diffused user in the first user set, wherein the voice service ticket at least comprises the following information: user combination for making a call and call start time;

The call tickets combined by the same user are arranged in ascending order according to the call start time, and the difference value between the call start times of adjacent call tickets is obtained;

when the difference value is smaller than a preset threshold value, determining that the user in the user combination is a call interruption user;

and based on the call interruption users, counting the number of call interruption users in the second user set.

Optionally, the ratio of the number of the unconnected users is the ratio of the number of the unconnected users to the total number of the users;

the number of the unconnected users is obtained through the following steps:

obtaining a BOSS call ticket of a target frequently-diffused user in the second user set, and screening a suspected offline user from the second user set based on the BOSS call ticket, wherein the suspected offline user is a user without a call ticket record in a preset tail time period in a plurality of preset time periods;

for each suspected offline user, acquiring the power saving time length corresponding to the suspected offline user, and if the power saving time length of the last non-call time of the suspected offline user is longer than N times, reserving the suspected offline user, wherein N is greater than or equal to 2;

acquiring a normal non-service duration average value corresponding to the suspected offline user, and if the last non-call time of the suspected offline user is longer than M times of the normal non-service duration average value, reserving the suspected offline user, wherein M is greater than or equal to 2;

If the suspected disconnection user is not a normal shutdown user, the suspected disconnection user is determined to be the disconnection user;

and based on the offline users, counting the number of the offline users in the second user set.

Optionally, the user traffic average change ratio is calculated by the following formula:

P＝(L _T /U _T -L _Y /U _Y )/(L _Y /U _Y )；

wherein P represents the average change ratio of the user traffic, L _T Indicating the total flow number of the target frequent user in a fourth preset period, U _T Representing the number of remaining users in the second user set after the users outside the first range are deleted, wherein the first users outside the first range comprise the offline users, the users in the normal power-saving period and the normal no-service period in the fourth preset period in the second user set, and L _Y Representing the total flow number of a target frequently diffused user in a fifth preset period, wherein the fifth preset period is a period before the fourth preset period, U _Y And representing the number of the remaining users after the users outside the second range are deleted in the second user set, wherein the users outside the second range comprise the offline users, the users in the normal power saving period and the normal no-service period in the fifth preset period in the second user set.

Optionally, the evaluating the roaming quality of the target frequent user based on the quality evaluation index includes:

determining that the roaming quality of the target frequent flyover user is lower than a preset threshold when at least two of the following are satisfied:

the zero-flow user number duty ratio in the second user set is larger than or equal to a first preset ratio;

the conversation interruption user number ratio in the second user set is larger than or equal to a second preset ratio;

the ratio of the number of the unconnected users in the second user set is larger than or equal to a third preset ratio;

and the average change ratio of the user traffic in the second user set is smaller than or equal to a fourth preset ratio.

In a second aspect, an embodiment of the present invention provides a roaming quality assessment apparatus, including:

the first acquisition module is used for acquiring frequent users, and obtaining a first user set composed of the frequent users, wherein the frequent users refer to roaming users with accumulated roaming time larger than a preset time value, and the roaming users refer to roaming users located in areas outside the province where the user attribution is located;

the second acquisition module is used for screening out target frequent and diffuse users from the first user set, and obtaining a second user set composed of the target frequent and diffuse users, wherein the target frequent and diffuse users are frequent and diffuse users belonging to the same industry unit and/or in the same roaming place;

The third acquisition module is used for acquiring the quality evaluation index of the target frequent users based on the second user set;

and the evaluation module is used for evaluating the roaming quality of the target frequent users based on the quality evaluation index.

In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, a memory, and a program or an instruction stored in the memory and executable on the processor, where the program or the instruction implements the steps of the roaming quality assessment method according to the first aspect when executed by the processor.

In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the roaming quality assessment method according to the first aspect.

In the implementation of the invention, a first user set composed of frequent and diffused users is firstly obtained, the frequent and diffused users refer to the diffused users with accumulated roaming time larger than a preset time value, the diffused users refer to the roaming users located in the area outside the province where the user belongs to, then the target frequent and diffused users are screened out from the first user set, a second user set composed of the target frequent and diffused users is obtained, the target frequent and diffused users are frequent and diffused users belonging to the same industry unit and/or located in the same roaming place, the quality evaluation index of the target frequent and diffused users is obtained based on the second user set, and finally the roaming quality of the target frequent and diffused users is evaluated based on the quality evaluation index, so that the purposes of self-determining the frequent and diffused users and evaluating the roaming quality of the frequent and diffused users are achieved, and convenience in roaming quality evaluation is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a method for evaluating roaming quality according to an embodiment of the present invention;

FIG. 2 is a flowchart of a method for acquiring a first user set according to an embodiment of the present invention;

fig. 3 is a flow chart of acquiring the number of dropped users in the embodiment of the invention;

fig. 4 is a schematic flow chart of acquiring the number of the loss connection users in the embodiment of the invention;

FIG. 5 is a schematic diagram illustrating the module components of an apparatus for evaluating roaming quality according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the invention.

Detailed Description

The technical solutions of the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which are obtained by a person skilled in the art based on the embodiments of the present invention, fall within the scope of protection of the present invention.

The terms first, second and the like in the description and in the claims, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present invention may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type, and are not limited to the number of objects, such as the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.

The roaming quality assessment method provided by the embodiment of the invention is described in detail below through specific embodiments and application scenarios thereof with reference to the accompanying drawings.

As shown in fig. 1, a flow chart of steps of a roaming quality evaluation method according to an embodiment of the present invention may be implemented by a server, where the server may be an independent server or a server cluster formed by a plurality of servers, and the server may be a server capable of performing program operation processing, such as a server performing roaming quality evaluation. The method comprises the following steps:

Step 101: and obtaining the frequent users, and obtaining a first user set consisting of the frequent users.

Wherein roaming refers to the function that the mobile station leaves the service area registered by itself, and after moving to another service area, the mobile communication system can still provide service to the mobile station, and the roaming user refers to the user who leaves the service area registered by itself in this embodiment.

The roaming user refers to a roaming user positioned in an area outside the province where the user attribution is positioned, and the user attribution refers to a service area where the user registers, namely the roaming type of the roaming user is extravagant roaming; the frequent roaming user refers to a roaming user whose accumulated roaming time is greater than a preset time value.

In this embodiment, the user may be an internet of things user, or may refer to a mobile communication user, which is not specifically limited herein.

According to the method, the first user set formed by the frequent users is obtained, so that the attribution of the frequent users can know which roaming users are users roaming in the province for a long time, and an evaluation object support is provided for roaming quality analysis.

Step 103: and screening the target frequent users from the first user set, and obtaining a second user set composed of the target frequent users.

Wherein, the target frequent users are frequent users belonging to the same industry unit and/or in the same roaming place.

Specifically, for the internet of things card, the embodiment can identify the industry units to which each user belongs through the internet of things card number of the user or the activated Access Point Name (APN) or the XDR ticket, so that the industry units of each frequent user can be distinguished.

In this step, users belonging to the same industry unit and/or in the same roaming place can be screened out from the frequent users in the first user set, i.e. target frequent users are screened out, and a second user set composed of target frequent users is obtained.

That is, the step can distinguish the frequent users in the first user set from industry unit dimension, roaming place dimension or dimension of industry unit plus roaming place, so as to distinguish the frequent users to obtain the second user set containing the target frequent users, and provide data support for generating the quality evaluation index, so that the quality evaluation index can be generated through the dimensions.

Step 105: and acquiring a quality evaluation index of the target frequent user based on the second user set.

Specifically, in this embodiment, the second user set may be used as an evaluation criterion to obtain a quality evaluation index of the target frequent user, so that the roaming quality of the user can be evaluated by the quality evaluation index.

Step 107: and evaluating the roaming quality of the target frequent users based on the quality evaluation index.

Specifically, after the quality evaluation index is obtained, the roaming quality of the target frequent user can be evaluated based on the quality evaluation index.

According to the technical scheme provided by the embodiment, the first user set formed by the frequent users is obtained, then the target frequent users are screened from the first user set, the second user set formed by the target frequent users is obtained, the target frequent users belong to the same industry unit and/or are frequent users in the same roaming place, then the quality evaluation index of the target frequent users is obtained based on the second user set, and finally the roaming quality of the target frequent users can be evaluated based on the quality evaluation index, so that the roaming place of the roaming user can automatically determine the frequent users and evaluate the roaming quality of the frequent users, the convenience of roaming quality evaluation is improved, and the problem that the roaming quality of the roaming user cannot be directly evaluated in the roaming place of the roaming user in the prior art is solved.

Optionally, in this embodiment, when obtaining the frequent users and obtaining the first user set composed of the frequent users, the method may include the following steps:

Step A1: and acquiring ticket data of the user in a first preset period within a preset range.

The call ticket data includes Business & Operation Support System (bos) call ticket data and/or mobile application part Mobile Application Part (MAP) protocol data.

Specifically, the BOSS call ticket data at least comprises time, user information (such as a user number) and roaming place; the MAP protocol data contains at least time, user information, roaming device ID information.

In addition, the first preset period may be set by itself based on the requirement, for example, may be 720 hours in succession.

Step A2: obtaining a first information base based on call ticket data, wherein the first information base contains corresponding relation among user information, roaming time and roaming type, and the roaming type is intra-provincial roaming or extra-provincial roaming;

specifically, after the ticket data is acquired, the ticket data can be processed. For example, the BOSS ticket data has an explicit roaming place field, and the roaming place can be directly acquired, and the roaming type is in the province when the roaming place is the province and the roaming type is out of the province when the roaming place is the province and the city is the outer city. In the MAP ticket data, the roaming device ID may be mapped to the roaming location according to a mapping relationship table between the roaming device ID and the roaming location, and similarly, when the roaming location is an intra-provincial and an extra-provincial, the roaming type is intra-provincial and extra-provincial, and the roaming location is an extra-provincial and an extra-provincial.

Thereafter, a first information base may be derived based on the ticket data (including the BOSS ticket data and/or MAP protocol data). The first information base contains the corresponding relation among the user information, the roaming time and the roaming type, and the roaming type is intra-provincial roaming or extra-provincial roaming.

Of course, if the data of the BOSS call ticket and the data of the MAP protocol are distinguished, a first information base B based on the data of the BOSS call ticket and a first information base M based on the data of the MAP protocol can be established, and the first information base B and the first information base M comprise roaming time, user information and roaming type fields.

Step A3: and deleting the user with the last roaming type of the provincial roaming in the first information base to obtain a second information base.

Aiming at the user in the first information base, if the last roaming type of the user is intra-provincial roaming, deleting the user from the first information base to obtain a deleted second information base. In the second information base, the roaming types of the users are all out-of-service roaming, namely, the users in the second information base are all roaming users, so that screening of the roaming users is realized.

Step A4: and acquiring the ratio of the total roaming time to the total call time of each user in the second information base, determining the user with the ratio larger than a preset ratio value as a first frequent user in the first preset period, and obtaining a third user set formed by the first frequent user.

Specifically, for the users in the second information base, the total roaming time and the total call time of each user can be counted according to the dimension of the users, and the total call time can be obtained by recording the number of hours of the ticket; and then calculating the ratio of the total roaming time to the total call time of the user, if the ratio is larger than a preset ratio value, determining the user as a first frequent user in a first preset period, and obtaining a third user set formed by the first frequent user.

Specifically, the preset ratio may be set according to specific requirements, which are not specifically limited herein.

It should be further noted that, if the ratio of the total roaming time to the total call time of the user is greater than the preset ratio value, the accumulated roaming time of the user is considered to be greater than the preset time value.

Step A4: the first set of users is obtained based on the third set of users.

Specifically, when the first user set is obtained based on the third user set, the first user set may be obtained by any of the following manners:

the method comprises the following steps: the third set of users is determined directly as the first set of users.

In this manner, the first frequent users determined in step A3 may be directly determined as the frequent users in this embodiment, and the third user set is the first user set.

The two modes are as follows: acquiring a fourth user set formed by second frequent users in a second preset time period, wherein the second preset time period is a time period before the first preset time period; deleting the user with the roaming type of provincial roaming in a third preset period in the fourth user set to obtain a fifth user set, wherein the third preset period is a preset end period in the second preset period; combining and de-duplication operation is carried out on the third user set and the fifth user set to obtain a sixth user set; and deleting the frequently diffused users of the sold users in the sixth user set to obtain the first user set.

Specifically, in this manner, the previous-period frequent and diffuse user may be acquired first, that is, the fourth user set formed by the second frequent and diffuse user in the second preset period may be acquired, where the second preset period is a period before the first preset period, and it should also be noted that the preset period may be set periodically, for example, assuming that the first preset period is H hours nearest to the current, the second preset period may be H hours nearest to the start time of the first preset period.

Then, user information in the fourth user set is matched with the first information base, and the user with the roaming type of provincial roaming in the third preset period is deleted, so that a fifth user set is obtained, namely, the roaming types of the users in the fifth user set are all provincial roaming; the third preset time period is a preset end time period in the second preset time period. For example, the third preset period may be the last hour within the second preset period, which is of course not particularly limited herein.

And then carrying out merging and deduplication operation on the third user set and the fifth user set, namely carrying out merging and deduplication operation on the first frequently-diffused user in the third user set and the second frequently-diffused user in the fifth user set, so as to obtain a sixth user set, wherein the sixth user set comprises frequently-diffused users which are not repeated.

Finally, based on the user information of the users in the sixth user set, basic information of the users in the sixth user set can be obtained from the BOSS system, the users which have been sold are deleted from the sixth user set according to the user state, and a first user set is obtained, and at this time, the first user set comprises a larger number of frequently-diffused users, namely, the mode ensures the cardinality of the frequently-diffused users to be evaluated.

In this way, the first set of users, i.e. supported by the evaluation object of the roaming quality, can be obtained in any of the above-described ways.

In the following, an embodiment of how to obtain the first user set is described in the context of the accompanying dialogue data including the BOSS call ticket data and the MAP protocol data.

As shown in fig. 2, obtaining the first set of users includes the steps of:

step 201: and acquiring BOSS ticket data and MAP protocol data of the full user in a first preset period (for example, H is continuous for 720 hours).

The BOSS ticket contains at least time, subscriber number, roaming location, and the MAP protocol data contains at least time, subscriber number, roaming device ID.

Step 203: and processing the ticket data and establishing an information base.

The BOSS ticket has an explicit roaming place field and can be directly acquired, and the roaming type is in the province when the roaming place is in the province and is out of the province when the roaming place is in the province.

The MAP protocol data may MAP the roaming device ID to the roaming location according to a mapping relationship table between the roaming device ID and the roaming location, where the roaming type is intra-provincial when the roaming location is intra-provincial and extra-provincial when the roaming location is extra-provincial.

Then, a first information base B of a 'user-roaming time (hour) -roaming place' dimension based on the BOSS ticket is established, a first information base M of a 'user-roaming time (hour) -roaming place' dimension based on the MAP data is established, and the first information base B and the first information base M both comprise roaming time, user numbers and roaming type fields.

Step 205: a first frequent user is determined within a first preset period.

Aiming at users in the first information base B and the first information base M, if the last roaming type of the user is in a province, the users are removed, and if the last roaming type of the user is out of the province, the users are reserved, so that a second information base B and a second information base M are obtained.

And then, counting the total roaming time (accumulated roaming hours) and the total call time (call ticket recording hours) of each user in the roaming type information table according to the user dimension aiming at the users in the second information base B and the second information base M, and determining the user as a first frequent user in a first preset period when the proportion of the total roaming time of the user to the total call time is larger than a preset proportion value, wherein a third user set B based on a BOSS call ticket and a third user set M based on MAP protocol data are respectively output.

Step 207: outputting the frequent users of the second preset time period.

Specifically, a fourth user set B formed by second frequent users in a second preset time period based on the BOSS ticket and a fourth user set M formed by second frequent users in the second preset time period based on the MAP protocol data are obtained.

If the first preset period is 720 hours consecutive from the current time, the second preset period may be 720 hours consecutive before the first preset period.

And then, respectively matching the first information base B and the first information base M according to the user information, deleting the user with the roaming type within the province from the current last hour in the fourth user set B, and if the roaming type is out of the province, indicating that the user is still in a roaming state, and reserving the user to obtain a fifth user set B and a fifth user set M.

Step 209: often diffuse users combine deduplication.

And merging the third user set B, the third user set M, the fifth user set B and the fifth user set M for deduplication to obtain a sixth user set.

Step 211: and deleting the frequently diffused users of the sold users to obtain a first user set.

Based on the sixth user set, basic information of the frequently diffused users in the sixth user set is obtained from the BOSS system according to the user information, and the frequently diffused users of the sold users in the sixth user set are deleted according to the user state.

The first user set is obtained through the processing, the common diffuse users in the first user set are determined to be the determined users to be analyzed, and base support is provided for the assessment of roaming quality.

Furthermore, optionally, in this embodiment, when the quality evaluation index of the target frequent user is acquired based on the second user set, the user index of the target frequent user in the second user set may be acquired first, and then the quality evaluation index of the target frequent user may be acquired based on the user index.

Wherein, the user index includes: the total number of users, the zero-flow number of users, the number of dropped users and the number of unconnected users in the second user set and the total flow number of each target frequently-diffused user in the second user set;

The quality evaluation index includes: zero flow user number proportion, call interruption user number proportion, loss user number proportion and user traffic average change proportion.

Specifically, the total number of users is the total number of target frequent users in the second user set.

The zero-flow user number is the user number with zero total flow of data service in the time granularity after the user without the connection is removed from the second user set and is in the normal power saving period or the normal no-service period; the zero-flow user number duty ratio is the ratio of the zero-flow user number to the total user number.

The total traffic number of each target frequently-diffused user is the sum of data traffic values in the user time granularity range, the time granularity can be day, and the data traffic can comprise all types of traffic supported by user terminals such as 2G traffic, 4G traffic, 5G traffic and the like.

The average change ratio of the user traffic is calculated by the following formula:

P＝(L _T /U _T -L _Y /U _Y )/(L _Y /U _Y )；

wherein P represents the average change ratio of the user traffic, L _T Indicating the total flow number of the target frequent user in a fourth preset period, U _T Representing the number of remaining users in the second user set after the users outside the first range are deleted, wherein the first users outside the first range comprise the offline users, the users in the normal power-saving period and the normal no-service period in the fourth preset period in the second user set, and L _Y Representing the total flow number of a target frequently diffused user in a fifth preset period, wherein the fifth preset period is a period before the fourth preset period, U _Y Representing the number of remaining users in the second user set after deleting the users outside the second range, wherein the second users outside the second range comprise the offline users in the fifth preset period, the users in the normal power saving period and the normal non-business in the second user setAnd (5) a service period user.

Specifically, the average change ratio of the user traffic can reflect the abrupt change of the user traffic, and the traffic is reduced by less than 0 and increased by more than 0. In addition, the fourth preset time period may be the day nearest to the current time, at which time U _T The number of the users after deleting the lost users, the users in the normal power saving period and the users in the normal no-service period in the second user set; the fifth preset period may be one day before the fourth preset period, at which time U _Y And deleting the number of the users after the lost user, the user in the normal power saving period and the user in the normal no-service period in the previous day from the second user set.

Further, optionally, the number of dropped calls is a ratio of the number of dropped calls to the total number of dropped calls. Specifically, when the call interruption processing is performed, the call start time ordering processing can be performed on the data according to the combination dimension of the calling party and the called party based on the voice service ticket data of the user, and the number of call interruption users is counted through the intervals of adjacent call start times. The specific real-time process may be as shown in fig. 3, and includes the following steps:

Step 301: firstly, obtaining a voice service ticket of a frequently diffused user in a first user set, wherein the voice service ticket at least comprises the following information: the user group making the call and the call start time.

Specifically, for the first user set, the calling number and the called number of the user ticket can be matched, the voice service ticket of the frequent user is obtained, and the voice service ticket at least comprises the following information: the user group making the call and the call start time.

The user combination for calling comprises a calling user and a called user, and the combination comprising the same two users is recorded as the same user combination; if the first user is the calling user and the second user is the called user in one user combination, and the first user is the called user and the second user is the calling user in the other user combination, the two user combinations are the same user combination.

Step 303: and according to the call start time, the call tickets of the same user combination are arranged in ascending order, the difference value between the call start times of the adjacent call tickets is obtained, and when the difference value is smaller than a preset threshold value, the user in the user combination is determined to be the call interruption user.

Specifically, the call tickets of the same user group can be categorized according to time granularity (such as day), and the call tickets of the user group can be arranged in an ascending order according to the call start time.

At this time, counting the time difference of the conversation starting time for the adjacent telephone bill of the same user combination after sequencing; if the difference is smaller than the preset threshold (for example, 30S, only the distance is used here, and the method is not particularly limited), it can be considered that the call is dialed again within 30S after the call of two users in the user combination is disconnected, and the user in the user combination is considered to be the call interrupt user if the abnormal call interrupt or the single-pass phenomenon occurs in the user combination.

Step 305: based on the call interruption users, counting the number of call interruption users in the second user set.

Specifically, after determining the call interruption user, the second user set may be matched, and the number of call interruption users in the second user set may be counted.

Therefore, the statistics of the number of call interruption users in the second user set in the time granularity range is realized, so that the duty ratio of the number of call interruption users can be obtained based on the statistics, and theoretical support is provided for roaming quality evaluation.

In addition, optionally, in this embodiment, the number of the loss users is a ratio of the number of the loss users to the total number of the users.

Specifically, when the statistics of the number of the lost connection users is carried out, the suspected lost connection users can be judged by utilizing a BOSS ticket based on the known frequent users, then a feature library is built through the power saving parameters of the local user and XDR data of the same industry unit and terminal type, the normal power saving users and normal non-service users in the suspected lost connection users are removed, the normal shutdown users are further removed through MAP data events, and finally the lost connection users are obtained and the number of the lost connection users is counted. The specific real-time process may be as shown in fig. 4, and includes the following steps:

Step 401: and acquiring a BOSS ticket of the target frequently-diffused user in the second user set, and screening the second user set based on the BOSS ticket to obtain a suspected unconnected user.

The suspected offline user is a user without a ticket record in a preset tail time period in a plurality of preset time periods.

Specifically, the obtained BOSS ticket of the target frequent user may be a continuous Z-hour (Z >620, i.e., greater than 2 times the maximum power saving period) BOSS ticket that includes time, user number, industry entity, terminal type, roaming place ID field.

Then, users without ticket records in a preset tail time period in a plurality of preset time periods can be screened, and the users are determined to be suspected unconnected users.

Alternatively, a suspected offline user information table may be output, which contains the user number, industry units, terminal type, roaming ID field.

It should be noted that the preset time period may be 168 hours (i.e. 7 days), and the preset end time period may be the last K hours in the 168 hours, for example, 24 hours, which is of course only used herein as an example, and is not limited thereto specifically.

Step 403: and acquiring the power saving time length corresponding to the suspected offline user aiming at each suspected offline user, and if the last call-free time length of the suspected offline user is longer than the power saving time length of N times, reserving the suspected offline user.

Wherein N is greater than or equal to 2.

Specifically, when the power saving time length corresponding to the suspected offline user is acquired, the signaling data of the user core network of the province where the user belongs to can be acquired, and the user industry unit, the terminal type, the T3412 timer and the T3324 timer are decoded and extracted; specific information is shown in the following table:

and then counting the average value of the T3324 timer and the average value of the T3412 timer according to the dimension of 'industry unit+terminal type', and calculating the electricity-saving time length of the user, wherein the electricity-saving time length of the user is the difference value between the average value of the T3412 timer and the average value of the T3324 timer.

After the user power saving time length is obtained, a user power saving feature library of an industry unit and terminal type dimension can be established, wherein the user power saving information feature library comprises industry unit, terminal type and power saving time length information.

Aiming at the suspected offline user, the power saving time length of the user with the same industry unit and terminal type can be matched, namely the power saving time length of the user with the same industry unit and terminal type can be used as the power saving time length of the suspected offline user.

At this time, if the last call-free time of the suspected disconnection user is longer than the power saving time length of N times, the suspected disconnection user is reserved.

Step 405: and acquiring a normal non-service duration average value corresponding to the suspected non-connected user, and if the last non-call time of the suspected non-connected user is longer than M times of the normal non-service duration average value, reserving the suspected non-connected user.

Wherein M is greater than or equal to 2.

Specifically, when the average value of the normal no-service duration is obtained, user XDR data of the province where the user belongs to can be obtained first, and time, industry units, international mobile subscriber identification codes (IMSI for short), terminal types (8 digits are terminal types in front of the IMSI) and flow field information are extracted;

then carrying out dimension reduction treatment on XDR data according to dimension of 'industry unit + IMSI number + hour', and adding flow values of the same industry unit, the same IMSI number and the same hour;

and then counting the average value of the no-service duration with the flow value of 0 according to the dimension of 'industry unit+terminal type', and taking the average value of the normal no-service duration of the user as the average value of the normal no-service duration of the user.

Specifically, the average value of the normal non-service time length is calculated by the following formula:

wherein,representing the average value of normal no-service time periods of the user, i represents the number of no-service time periods, T _Li And the time length value indicating that the user has no service in the ith section.

It should be noted that, after determining the average value of the normal no-service duration of the user, a user service feature library of dimension of "industry unit+terminal type" may be established, where the information is the average value of the industry unit, terminal type and normal no-service duration.

And finally, judging the service characteristics of the suspected lost user, and matching the normal non-service duration average value of the same industry unit and terminal type according to the industry unit and terminal type, wherein the normal non-service duration average value of the same industry unit and terminal type can be used as the normal non-service duration average value of the suspected lost user, and if the last non-call time of the suspected lost user is longer than the normal non-service duration average value which is M times, the suspected lost user is reserved.

Step 407: and if the suspected disconnection user is not the normal shutdown user, determining the suspected disconnection user as the disconnection user.

Specifically, when determining whether the suspected offline user is a normal shutdown user, firstly acquiring MAP data of users in a second user set for continuous Z hours; and then, aiming at suspected offline users, inquiring the last event type of MAP data of the suspected offline users according to the user numbers, if the MAP data is MSINACT (mobile station deactivation), indicating that the users are normally powered off, eliminating the users, and if the users are not normally powered off, determining the users as the offline users.

And counting the number of the unconnected users in the second user set aiming at the determined unconnected users.

Therefore, the statistics of the number of the unconnected users in the second user set is realized through the mode, so that the quality evaluation index of the number of the unconnected users is obtained, and theoretical support is provided for roaming quality evaluation.

Further, optionally, in this embodiment, when the roaming quality of the target frequent user is evaluated based on the quality evaluation index, it may be determined that the roaming quality of the target frequent user is lower than a preset threshold when at least two of the following are satisfied:

It should be noted that, the values of the first preset ratio, the second preset ratio, and the third preset ratio may be the same, for example, 10%, or may be different, which is not specifically limited herein; in addition, the fourth preset ratio may be-30%, which is of course not particularly limited here.

If any two of the above items reach or exceed the threshold of the preset ratio, determining that the roaming quality of the target frequent and diffused users in the second user set is lower than the preset threshold, namely determining that the frequent and diffused users of the industry units and/or roaming places corresponding to the second user set are poor quality users, and outputting the second user set at the moment, wherein the second user set comprises industry unit and/or roaming place information.

According to the technical scheme provided by the embodiment of the invention, the first user set formed by the frequent and diffused users is obtained, then the target frequent and diffused users are screened out from the first user set, the second user set formed by the target frequent and diffused users is obtained, the quality evaluation index of the target frequent and diffused users is obtained based on the second user set, and finally the roaming quality of the target frequent and diffused users is evaluated based on the quality evaluation index, so that the home location of the roaming user can be automatically determined and the roaming quality of the frequent and diffused users is evaluated, and the convenience of roaming quality evaluation is improved.

According to the roaming quality assessment method provided by the embodiment, based on the same technical concept, the embodiment of the present invention further provides a roaming quality assessment device, and fig. 5 is a schematic diagram of module composition of the roaming quality assessment device provided by the embodiment of the present invention, where the roaming quality assessment device is configured to execute the roaming quality assessment method described above, and as shown in fig. 5, the roaming quality assessment device includes:

The first obtaining module 501 is configured to obtain a frequent user, and obtain a first user set that is formed by the frequent user, where the frequent user refers to a roaming user that has accumulated a roaming time greater than a preset time value, and the roaming user refers to a roaming user located in an area outside a province where a user home location is located;

a second obtaining module 502, configured to screen out a target frequent and diffuse user from the first user set, and obtain a second user set composed of the target frequent and diffuse users, where the target frequent and diffuse user is a frequent and diffuse user belonging to the same industry unit and/or in the same roaming place;

a third obtaining module 503, configured to obtain, based on the second user set, a quality evaluation index of the target frequent user;

and the evaluation module 504 is configured to evaluate the roaming quality of the target frequent user based on the quality evaluation index.

The device acquires the frequent users through a first acquisition module, acquires a first user set composed of the frequent users, screens out target frequent users from the first user set through a second acquisition module, acquires a second user set composed of the target frequent users, acquires a quality evaluation index of the target frequent users through a third acquisition module based on the second user set, and finally evaluates the roaming quality of the target frequent users through an evaluation module based on the quality evaluation index, so that the home location of the roaming users can automatically determine the frequent users and evaluate the roaming quality of the frequent users, and the convenience of roaming quality evaluation is improved.

It should be noted that, the roaming quality evaluation device provided in the foregoing embodiment can implement all the method steps and beneficial effects of the foregoing roaming quality evaluation method embodiment, and in order to avoid repetition, the same method steps and beneficial effects as those in the foregoing method embodiment are not repeated herein.

According to the roaming quality assessment method provided by the above embodiment, based on the same technical concept, the embodiment of the invention further provides an electronic device, which is used for executing the quality assessment method, and fig. 6 is a schematic structural diagram of an electronic device for implementing the embodiments of the invention. The electronic devices may vary in configuration or performance, and may include a processor (processor) 610, a communication interface (Communications Interface) 620, a memory (memory) 630, and a communication bus 640, where the processor 610, the communication interface 620, and the memory 630 communicate with each other via the communication bus 640. The processor 610 may call a computer program stored on the memory 630 and executable on the processor 610 to perform the steps of:

deleting the user with the roaming type of the provincial roaming in the first information base, deleting the user with the last roaming type of the provincial roaming in the first information base, and obtaining a second information base, wherein the user in the second information base is a roaming user;

and obtaining the first user set based on the third user set.

directly determining the third set of users as the first set of users; or,

the number of the unconnected users is obtained through the following steps:

P＝(L _T /U _T -L _Y /U _Y )/(L _Y /U _Y )；

The embodiments of the present invention further provide a non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor, is implemented to perform the method provided in the foregoing embodiments and achieve the same technical effects, and will not be described in detail herein.

It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, the electronic device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are to be included in the scope of the claims of the present invention.

Claims

1. A roaming quality assessment method, comprising:

evaluating the roaming quality of the target frequent users based on the quality evaluation index;

the obtaining, based on the second user set, a quality evaluation index of the target frequent user includes:

based on the user index, acquiring a quality evaluation index of the target frequent user, wherein the quality evaluation index comprises: zero flow user number proportion, call interruption user number proportion, loss user number proportion and user traffic average value change proportion;

the estimating the roaming quality of the target frequent users based on the quality estimation index comprises the following steps:

2. The roaming quality assessment method according to claim 1, wherein the obtaining the frequent users and obtaining the first set of frequent users comprises:

and obtaining the first user set based on the third user set.

3. The roaming quality assessment method of claim 2, wherein the deriving the first set of users based on the third set of users comprises:

directly determining the third set of users as the first set of users; or,

4. The roaming quality assessment method according to claim 1, wherein,

the conversation interruption user number ratio is the ratio of the conversation interruption user number to the total user number;

5. The roaming quality assessment method according to claim 1, wherein,

the ratio of the number of the unconnected users is the ratio of the number of the unconnected users to the total number of the unconnected users;

The number of the unconnected users is obtained through the following steps:

6. The roaming quality assessment method according to claim 1, wherein,

The user traffic average value change ratio is calculated by the following formula:

P＝(L _T /U _T -L _Y /U _Y )/(L _Y /U _Y )；

7. A roaming quality assessment apparatus, comprising:

the evaluation module is used for evaluating the roaming quality of the target frequent users based on the quality evaluation index;

the third obtaining module is specifically configured to obtain a user index of a target frequent user in the second user set, where the user index includes: the total number of users, the zero-flow number of users, the number of call interruption users and the number of unconnected users in the second user set and the total number of flows of all target frequently-diffused users in the second user set;

The evaluation module is specifically configured to determine that the roaming quality of the target frequent user is lower than a preset threshold when at least two of the following are satisfied:

8. An electronic device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the roaming quality assessment method according to any of claims 1 to 6.